บทเรียน AI Agents

AI-powered terminal built with Rust, designed to enhance developer productivity by combining intelligent command suggestions, reusable workflows, collaboration tools, and seamless customization.

Learn how to use Qwen-Agent and Qwen3 to build a real-time webpage summarizer extension.

Learn how to use n8n to build AI agents that automate email processing and create a retrieval-augmented generation (RAG) agent for document question answering.

Learn how to build a multi-agent travel assistant using Google's Agent Development Kit (ADK) and the Agent2Agent (A2A) protocol.

Learn how to build a multi-agent system using LangManus to analyze a trending GitHub repository, scrape its commit history, visualize activity trends, and generate a markdown report.

Learn how to build intelligent AI applications with OpenAI's Agents SDK. This comprehensive guide covers creating agents, implementing tools, structured outputs, and coordinating multiple agents.

Learn how to build an Agentic RAG pipeline from scratch, integrating local data sources and web scraping to generate context-aware responses to user queries.

Explore the AI-powered IDE with features like Cascade, Supercomplete, and Memories, designed to boost developer productivity using the AI flow.

Learn how to simplify the creation of AI agents with Hugging Face's new Python library, smolagents, and follow along with a demo project to see it in action.

Learn how to set up the AWS Multi-Agent Orchestrator framework and build a demo project focused on multi-agent orchestration.

CrewAI is a platform that enables developers to build and deploy automated workflows using multiple AI agents that collaborate to perform complex tasks.

Learn how to set up Replit Agent and discover how to use it through an example walkthrough and 10 real-world use cases.